Exploring Google's New Gemini Models And Startup Founders Salaries
How Google's Groundbreaking Multimodal AI And Guidance On Setting Fair Startup Founder Pay intersect To Shape The Future
Google recently unveiled its new multimodal AI system, Gemini, which represents an exciting step forward in AI capabilities. Gemini is the first large language model that can understand and generate across text, images, audio, and video. I wanted to highlight some key things that make Gemini special and how it may shape the future of AI.
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What Makes Gemini Unique?
Previous language models have focused almost exclusively on text. Gemini is the first model that was trained from scratch on huge datasets containing text, images, videos, and audio. This allowed Gemini to develop a deeper understanding of the relationships and connections between different data modalities.
Some key advantages of Gemini's multimodal training:
- Better performance on single modality tasks: Surprisingly, training on multimodal data also improves Gemini's text-only abilities, outperforming specialized text-only models. The additional modalities provide wider context.
- State-of-the-art results across modalities: Gemini achieves top results on language, vision, robotics, and other AI benchmarks, indicating it has developed a robust general intelligence spanning different modalities.
- Broader applications: With the ability to understand various data types, Gemini opens up entirely new use cases compared to text-only models. It can caption images, understand speech commands, assess videos, and more.
Gemini Models - Something For Everyone
The Gemini family contains four model sizes intended for different applications:
- Nano - Tiny 1.8B to 3.2B parameter models designed to fit on smartphones and edge devices. Quantized for fast efficient inference.
- Pro - Ideal for interactive chat, search, and more. Likely similar in size to models like GPT-3.
- Ultra - Cutting-edge model only available via API for advanced research purposes in 2023. Largest most capable Gemini variant.
- And likely additional sized models for specific use cases over time.
The range of models makes Gemini accessible to individuals for local use up to enterprises leveraging huge cloud scale. Gemini provides a unified AI platform spanning consumer to industrial applications.
What About Startup Founder Salaries?
Transitioning to a slightly different topic, determining fair founder salaries is a complex balancing act for startups. With limited funding, startups need to be careful with expenses while still attracting and retaining talent. I wanted to share guidance on setting reasonable founder pay.
Guiding Principles on Founder Salaries
When deciding founder salaries, several guiding principles can help set expectations:
- Pay enough for basic needs but keep things modest - Seed stage founders average $120-150K. Don't expect corporate executive pay despite similar stress.
- Salaries tend to scale with funding raised - Series A around $175K, Series B around $250K allows for higher pay as company grows.
- Discuss with investors for alignment and obtain board approval on pay.
- Ensure salaries stay in line with other startup employees. Founders often not highest paid.
- Split evenly for co-founders based on Equity unless one contributes more operationally.
- Unfortunately gender pay gaps persist with female founders paid ~10% less. Things are slowly improving but awareness can help close this gap.
Personal Runway Planning
Founders should also analyze their personal financial runway when considering lower startup pay:
- Review monthly spending habits and see where costs can be reduced if needed to match startup salary. Get personal finances in order.
- Discuss impact on lifestyle and family obligations caused by lower pay. Make sure significant others are on same page.
- Build up personal savings to cover living costs in case company fails. Shoot for 12-18 months of savings.
- Some founders keep side consulting gigs initially for extra income, but guard against distraction from the startup.
Setting fair founder pay continues to be a challenge in the startup world. Follow these principles and align expectations with investors to put your company - and yourself - in the best position to succeed.
The future looks bright with technologies like Gemini pushing AI capabilities to new frontiers. I'm excited to see how startups leverage these new innovations - hopefully using guidance like that outlined above on founder pay - to bring amazing new products to life that make the world a better place.
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